BEOM-GYU JOENG [JADEN]

Quant Developer & Trader | AI Engineer:

Specializing in advanced time-series analysis & prediction and the application of AI in finance and technology.

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My Expertise

A snapshot of the technologies, frameworks, and methodologies I specialize in.

Languages & Frameworks

Python

C++

TypeScript

Next.js

PyTorch

Scikit-learn

Data & Infrastructure

PostgreSQL

Vector DB

AWS

Docker

Terraform

Kubernetes

AI/ML Specializations

LLM Agents

RAG

Time-Series Forecasting

Reinforcement Learning

Transformers

Projects

A selection of my work, from full-stack platforms to research prototypes.

Flagship Quant Platform

A comprehensive backtesting and live trading platform for systematic strategies. Features a high-performance event-driven backtester, realistic transaction cost modeling, and a suite of portfolio-level risk and performance analytics.

Python

AWS

Docker

PostgreSQL

Transformer Models

Reinforcement Learning

View Code Live Demo

LLM-Powered Trading Agent

An autonomous agent that interprets financial news and executes trades using a Retrieval-Augmented Generation (RAG) pipeline to generate trading signals and rationale.

LLM Agents

RAG

Vector DB

LangChain

Python

View Code

Research & Ideas

A collection of my articles, explorations, and thoughts on finance and technology.

All

LLM Agents

Time-Series

RAG

NLP

Transformers

Deep Learning

LLM Agents

Time-Series

The Rise of LLM Agents in Algorithmic Trading

October 26, 2023

Exploring how autonomous agents powered by Large Language Models are set to revolutionize trading.

Enhancing Market Analysis with Retrieval-Augmented Generation

RAG

LLM Agents

NLP

Enhancing Market Analysis with Retrieval-Augmented Generation

September 15, 2023

A deep dive into using RAG to synthesize market news, filings, and reports for actionable insights.

Time-Series

Transformers

Deep Learning

Transformers vs. LSTMs for Time-Series Forecasting

August 1, 2023

A comparative analysis of Transformer models and LSTMs for financial time-series prediction.

Knowledge Map

An interactive visualization of my skills, domains of expertise, and the tools I use. Hover over a node to see how my knowledge connects.

Work Experience

My professional journey in quantitative finance and technology.

Quantitative Investment Engineer

Jan 2022 - Present

Bridgewater Associates

Developed and backtested systematic macro strategies across various asset classes.
Engineered high-performance data pipelines for alternative datasets.
Researched and implemented machine learning models for alpha signal generation.

Python

Pandas

NumPy

Scikit-learn

SQL

AWS

Software Engineering Intern

Summer 2021

DE Shaw & Co

Contributed to the development of a low-latency trading system in C++.
Built internal tools for monitoring system performance and trade execution analytics.
Collaborated with researchers to optimize model inference speed.

C++

Python

Linux

Docker

Get In Touch

Have a question or want to work together? Drop me a line.

Contact Information

You can also find me on these platforms. I'm always open to discussing new projects, creative ideas, or opportunities.

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